This is a development template for the Model Context Protocol (MCP) based on TypeScript, providing a complete foundation for building MCP clients and servers, including production-grade tools, sample code, and clear documentation, supporting rapid development and expansion.

This project designs and implements an architecture that connects the data space with generative AI. Through the Model Context Protocol (MCP) server as a secure middle layer, the language model can indirectly access the DuckDB database. It has the characteristics of modularity, extensibility, and log tracking, laying the foundation for future upgrades to the RAG architecture.

MCP Base is a foundational Python template for building Model Context Protocol (MCP) servers, offering modular tool, prompt, and resource management, supporting multiple transport layers (such as STDIO, SSE, HTTP), and including production-grade best practices for security, scalability, and maintainability.